Results 1 to 10 of about 393,041 (310)
Anticlustering for sample allocation to minimize batch effects [PDF]
Cell Reports: MethodsSummary: High-throughput sequencing enables efficient processing of DNA and RNA samples in batches, but batch effects can obscure true biological signal.
Martin Papenberg +16 more
doaj +5 more sources
Using information from network meta-analyses to optimize the power and sample allocation of a subsequent trial with a new treatment [PDF]
BMC Medical Research Methodology, 2022 Background A critical step in trial design is determining the sample size and sample allocation to ensure the proposed study has sufficient power to test the hypothesis of interest: superiority, equivalence, or non-inferiority.
Dapeng Hu +3 more
doaj +2 more sources
Optimum Allocation in Stratieied Samples for a Multivariate Survey [PDF]
The Egyptian Statistical Journal, 1979 The optimum allocation of sample sizes for one character has been thoroughly discussed in almost all types of sampling procedures, like stratified, Multistage, Double sampling etc.
Zahid Mahmood, Masoodul Haq
doaj +3 more sources
Randomization methods and cluster size in cluster randomized trials conducted in elementary and high schools [PDF]
Vojnosanitetski Pregled, 2022 Background/Aim. Randomization allows for study groups to be formed so that they are similar in all characteristics except outcomes. The aim of this study was to examine the frequency of randomization methods and their effect on achieving baseline balance
Pajčin Mirjana +3 more
doaj +1 more source
Remote Sensing, 2022 Spatial sampling design is important for accurately assessing land use and land cover (LULC) classification results from remote sensing data. Spatial stratification can dramatically improve spatial sampling efficiency by dividing the study area into ...
Shiwei Dong +4 more
doaj +1 more source
OPTIMAL ALLOCATIONS FOR SAMPLE AVERAGE APPROXIMATION [PDF]
2018 Winter Simulation Conference (WSC), 2018 We consider a single stage stochastic program without recourse with a strictly convex loss function. We assume a compact decision space and grid it with a finite set of points. In addition, we assume that the decision maker can generate samples of the stochastic variable independently at each grid point and form a sample average approximation (SAA) of ...
Prateek Jaiswal +2 more
openaire +2 more sources
Two-Stage Optimization Methods to Solve the DNA-Sample Allocation Problem
Mathematics, 2022 This paper deals with new methods capable of solving the optimization problem concerning the allocation of DNA samples in plates in order to carry out the DNA sequencing with the Sanger technique.
Diego Noceda-Davila +2 more
doaj +1 more source
A biobjective method for sample allocation in stratified sampling [PDF]
European Journal of Operational Research, 2007 The two main and contradicting criteria guiding sampling design are accuracy of estimators and sampling costs. In stratified random sampling, the sample size must be allocated to strata in order to optimize both objectives. In this note we address, following a biobjective methodology, this allocation problem.
Emilio Carrizosa, Dolores Romero Morales
openaire +7 more sources
Density Peak Clustering Based on Relative Density under Progressive Allocation Strategy
Mathematical and Computational Applications, 2022 In traditional density peak clustering, when the density distribution of samples in a dataset is uneven, the density peak points are often concentrated in the region with dense sample distribution, which is easy to affect clustering accuracy.
Yongli Liu, Congcong Zhao, Hao Chao
doaj +1 more source
Weighted K-nearest Neighbors and Multi-cluster Merge Density Peaks Clustering Algorithm [PDF]
Jisuanji kexue yu tansuo, 2022 Density peaks clustering (DPC) algorithm is a clustering algorithm based on density. The algorithm is simple in principle and efficient in operation, and can find any non-spherical class clusters. However, there are some defects in the algorithm. Firstly,
CHEN Lei, WU Runxiu, LI Peiwu, ZHAO Jia
doaj +1 more source